Purpose: To find out whether children with epilepsy did show different event-related potentials (ERP) compared to healthy children during performance in a visuo-spatial working memory (WM) task.
Methods: Multichannel ERPs were measured during a visuo-spatial backmatching task. A quantitative analysis technique, based on Statistical Parametric Mapping, was used to analyze the ERP data. 62 children were tested (6-16 years old): 31 children with well-controlled epilepsy and 31 age- and intelligence-matched healthy children. One-backmatching (BM1) and two-backmatching (BM2) tasks were performed. Behavioral performance and target and nontarget ERPs were compared across groups in both tasks.
Results: No behavioral differences were found between groups in the easy BM1 task. In the difficult BM2 task, children with epilepsy made significantly more omission errors. ERP analysis showed significantly higher amplitudes over frontal and central regions between 300 and 500 ms poststimulus in the epilepsy group compared to the control group. This effect was most pronounced in BM2.
Discussion: This study shows that children with well-controlled epilepsy and normal intelligence demonstrate compensatory recruitment of their WM network during a visuo-spatial working memory task. Increasing the difficulty of the task (BM2) enhances this general neurophysiological finding and parallels the behavioral performance.
Significance: Our results illustrate that epilepsy induces different cortical activity during working memory tasks, even when behavioral performance is normal.
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http://dx.doi.org/10.1016/j.seizure.2010.11.005 | DOI Listing |
Alzheimers Dement
January 2025
Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
Introduction: This study investigates the inter-related roles of hippocampal neuronal loss (HNL), limbic-predominant age-related TAR-DNA binding protein of 43 kDa (TDP-43) encephalopathy neuropathologic changes (LATE-NC), and Alzheimer's disease neuropathologic changes (ADNC) on cognitive decline.
Methods: Participants underwent annual cognitive testing and autopsy. HNL, ADNC, LATE-NC, and other age-related pathologies were evaluated.
Comput Methods Biomech Biomed Engin
January 2025
Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.
The conversion of a person's intentions into device commands through the use of brain-computer interface (BCI) is a feasible communication method for individuals with nervous system disorders. While common spatial pattern (CSP) is commonly used for feature extraction in BCIs, it has limitations. It is known for its susceptibility to noise and tendency to overfit.
View Article and Find Full Text PDFFront Neurosci
January 2025
Institute for Biomedical Research and Innovation (IRIB), Italian National Research Council (CNR), Cosenza, Italy.
Introduction: Temporal lobe epilepsy is the most common form of focal epilepsy, often associated with cognitive impairments, particularly in memory functions, and depression. Sex and APOE ε4 genotype play a crucial role in modulating cognitive outcomes and depression in various neurological conditions like Alzheimer's disease. However, the combined effects of APOE genotype and sex on cognitive performance and depression in temporal lobe epilepsy have not been previously investigated.
View Article and Find Full Text PDFBrain Commun
January 2025
Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Digital cognitive testing using online platforms has emerged as a potentially transformative tool in clinical neuroscience. In theory, it could provide a powerful means of screening for and tracking cognitive performance in people at risk of developing conditions such as Alzheimer's disease. Here we investigate whether digital metrics derived from an in-person administered, tablet-based short-term memory task-the 'What was where?' Oxford Memory Task-were able to clinically stratify patients at different points within the Alzheimer's disease continuum and to track disease progression over time.
View Article and Find Full Text PDFSci Rep
January 2025
Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India.
Over time, the importance of virtual power plants (VPP) has markedly risen to seamlessly incorporate the sporadic nature of renewable energy sources into the existing smart grid framework. Simultaneously, there is a growing need for advanced forecasting methods to bolster the grid's stability, flexibility, and dispatchability. This paper presents a dual-pronged, innovative approach to maximize income in the day-ahead power market through VPP.
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